Omni-shopping model

I prototyped our team's model for target omni-shoppers.

2022-2025Link

Fraud model

Used an SVM on text to predict fraud from claim notes. This allowed us to automate the work of 15 FTEs.

2014-2016Link

Incrementality

Setup incrementality experiments for data, and ensembled existing models to drive incrementality.

2022-2025Link

YouTube channel recommendation

Designed and implemented model to find best YouTube channels for a client, given URL and keywords for brand/campaign.

2018-2021Link

Sports betting market sizing

I conducted surveys and matched to Census data to model demand. I used this in a gravity model to estimate market size of sports betting in states that were considering legalizing.

2018Link

Model packet automations

Reversed-engineered pre-packaged GLM software, allowing us to automatically produce modeling packets. This reduced a day-long project to minutes.

2014-2016Link

Video view predictor

Utilized monte carlo simulations in a patent pending application to predict views for a pool of channels.

2018-2021Link

ASO pricing

Priced our new small ASO product using Monte Carlo simulations.

2014Link

Casino host target model

Modeled expected hosted players' play. Significant improvement over existing methodology.

2016-2018Link

Lifetime value model

Built a customer lifetime value model of our commerical policy data.

2014-2016Link

Project Titan

Project Titan is a set of software I wrote to make predictions for sports. This is a large project with web scraping, modeling, and architecture components.

2023-2022Link

r/borrow

There's a subreddit where people ask for high-risk, high-yield, short-term loans, and various lenders fulfill these loans. My friend and I tried to make money doing this, by underwriting users based on their borrowing and user history. We scraped a ton of data from the site, modeled on this, and set up a service to notify us of good risk to lend to.

2016Link

Santa's Kaggle Project

A friend and I signed up to do a Kaggle project, about Santa's sleigh. The problem was to find Santa's shortest path, while considering a weight restriction; essentially a travelling salesperson problem on top of a knapsack problem. We approached the problem with a modified k-means and a hybrid of standard TSP algorithms.

2015Link

Modern portfolio theory with costs

This was a small project that I worked on following a financial stats class I took in grad school. I attempted to account for transaction costs in a modern portfolio theory implementation.

2013Link

March Madness (early attempts)

Early-in-my-career attempts to model march madness games.

2013-2016Link